Smart Log Data Analytics (PDF)

Innovative Smart Grid Technologies (ISGT) conference in Washington D.C., and acted as co-moderator of the National Austrian Cyber Security Challenge 2017, and as jury member of the United Nations Cyber Security Challenge 2019. Florian is IEEE Senior Member, Senior Member of the Association for Computing Machinery (ACM), Member of (ISC)2, Member of ISACA and Member of the International Society of Automation (ISA).
Markus Wurzenberger is a scientist and project manager at the Austrian Institute of Technology (AIT), located in Vienna, Austria. His main research interests are log data analysis with focus on anomaly detection and cyber threat intelligence (CTI). This includes the development of (i) novel machine learning that allow online processing of large amounts of log data to enable attack detection in real time, and (ii) artificial intelligence (AI) methods and concepts for extracting threat information from anomalies to automatically generate actionable andshareable CTI. Besides the involvement in several national and international research projects, Markus is one of the key researchers working on AIT's anomaly detection project AECID (Automatic Event Correlation for Incident Detection). Among the most prominent solutions developed within this project, Markus and his team created AMiner, a software component for log analysis, which implements several anomaly detection algorithms and is included as package in the official Debian distribution. In 2016, Markus enrolled for his PhD studies in computer science at the Vienna University of Technology, with focus on anomaly detection in computer log data. The subject of his PhD aligns with several national and international research projects AIT is involved in. In 2015 Markus obtained his Master's Degree in Technical Mathematics at the Vienna University of Technology. Since 2014 he is a full-time researcher at AIT in the area of cyber security.

Max Landauer finished his Bachelor's Degree in Business Informatics at the Vienna University of Technology in 2016. In 2017, he joined the Austrian Institute of Technology (AIT), where he carried out his Master's Thesis on clustering and time-series analysis of system log data. He started his PhD studies as a cooperative project between the Vienna University of Technology and the Austrian Institute of Technology in 2018. For his dissertation, Max is working on an automatic threat intelligence mining approach that extracts actionable CTI from raw log data. The goal of this research is to transform threat information shared by different organizations into abstract alert patterns that allow detection and classification of similar attacks. Moreover, Max is a maintainer of the logdata-anomaly-miner (AMiner), an Open-Source agent for parsing and analyzing all kinds of system logs, that is developed at AIT and available in the Debian distribution. He is also contributing to multiple other tools thatare part of AECID (Automatic Event Correlation for Incident Detection), a framework for all kinds of efficient and scalable log data analysis techniques such as parser generation and log clustering. Max has multiple years of experience with nationally and internationally funded projects in numerous areas, including machine learning, artificial intelligence, cyber-physical systems, and digital service chains. He is currently employed as a Junior Scientist in the center for Digital Safety and Security at the Austrian Institute of Technology. His main research interests are log data analysis, anomaly detection, and cyber threat intelligence.